Research Data Management

Research Data Management (RDM) refers to the practices of organizing, documenting, storing, sharing, and preserving data gathered during a research project. The purpose of RDM is to ensure that data are usable over time.

Effective

management of data

Good data management practices can help researchers ensure long-term data use, meet funder and publisher requirements and receive credit for their work.

View Full Guidance

Includes:

  • File organization 
  • Documentation and version control 
  • Storage and access for security and collaboration
  • Archiving and preservation for future accessibility
  • Policies for sharing and reuse
Data Management

Resources

Funding Agency Research Data Policies & Resources

Quick access to funder data management and sharing plans.

Research Data and File Storage

Texas A&M University provides numerous technology options to store data and files.

Secure Technologies for Aggie Researchers

(STAR) provides a collection of new, cloud-based resources that facilitate both rapid access and simplified procurement for researchers working with controlled, confidential or restricted data.

Texas A&M University

Guidelines

Texas A&M University Standard Administrative Procedure

The Responsible Stewardship of Research Data

SAP 15.99.03.M1.03

Identifies roles, responsibilities, and procedures for responsible stewardship of research data.

TAMU IT Policy

Defining rules and guidelines for information technology use across the Texas A&M campus (e.g. CUI, HPPA, FERPA).

University Research Data Privacy

Guidance on understanding the nature of the data being used in research including data
classified as critical or confidential.

Data Use/Data Transfer Agreements

Understanding DTUA responsibilities and requirements.